
=== Start adding workers ===
=> Add worker SGDMWorker(index=0, momentum=0.0)
=> Add worker SGDMWorker(index=1, momentum=0.0)
=> Add worker SGDMWorker(index=2, momentum=0.0)
=> Add worker SGDMWorker(index=3, momentum=0.0)
=> Add worker SGDMWorker(index=4, momentum=0.0)
=> Add worker SGDMWorker(index=5, momentum=0.0)
=> Add worker SGDMWorker(index=6, momentum=0.0)
=> Add worker SGDMWorker(index=7, momentum=0.0)
=> Add worker SGDMWorker(index=8, momentum=0.0)
=> Add worker SGDMWorker(index=9, momentum=0.0)
=> Add worker SGDMWorker(index=10, momentum=0.0)
=> Add worker BitFlippingWorker

=== Start adding graph ===
TwoCliquesWithByzantine(m=5,b=1)

Train epoch 1
[E 1B0  |    384/60000 (  1%) ] Loss: 2.3142 top1=  7.6705

=== Peeking data label distribution E1B0 ===
Worker 0 has targets: tensor([0, 0, 0, 0, 0], device='cuda:0')
Worker 1 has targets: tensor([1, 1, 1, 0, 1], device='cuda:0')
Worker 2 has targets: tensor([1, 1, 2, 1, 1], device='cuda:0')
Worker 3 has targets: tensor([2, 2, 3, 2, 2], device='cuda:0')
Worker 4 has targets: tensor([3, 3, 3, 3, 3], device='cuda:0')
Worker 5 has targets: tensor([4, 4, 4, 4, 4], device='cuda:0')
Worker 6 has targets: tensor([5, 5, 5, 5, 5], device='cuda:0')
Worker 7 has targets: tensor([6, 6, 6, 5, 6], device='cuda:0')
Worker 8 has targets: tensor([6, 7, 7, 6, 6], device='cuda:0')
Worker 9 has targets: tensor([7, 7, 8, 7, 7], device='cuda:0')
Worker 10 has targets: tensor([8, 8, 9, 8, 8], device='cuda:0')
Worker 11 has targets: tensor([9, 9, 9, 9, 9], device='cuda:0')



=== Log global consensus distance @ E1B0 ===
consensus_distance=0.000



=== Log clique consensus distance @ E1B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.000


[E 1B10 |   4224/60000 (  7%) ] Loss: 2.2536 top1= 18.7500

=== Log global consensus distance @ E1B10 ===
consensus_distance=0.000



=== Log clique consensus distance @ E1B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.002


[E 1B20 |   8064/60000 ( 13%) ] Loss: 2.2120 top1= 23.8636

=== Log global consensus distance @ E1B20 ===
consensus_distance=0.001



=== Log clique consensus distance @ E1B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.004



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2849 top1= 16.1258


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2837 top1= 13.8822


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2886 top1= 14.8638

Train epoch 2
[E 2B0  |    384/60000 (  1%) ] Loss: 2.1701 top1= 28.9773

=== Log global consensus distance @ E2B0 ===
consensus_distance=0.002



=== Log clique consensus distance @ E2B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.008


[E 2B10 |   4224/60000 (  7%) ] Loss: 2.1338 top1= 32.6705

=== Log global consensus distance @ E2B10 ===
consensus_distance=0.002



=== Log clique consensus distance @ E2B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.011


[E 2B20 |   8064/60000 ( 13%) ] Loss: 2.0996 top1= 34.9432

=== Log global consensus distance @ E2B20 ===
consensus_distance=0.003



=== Log clique consensus distance @ E2B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.013



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2673 top1= 16.9772


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2770 top1= 14.4131


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2758 top1= 17.9688

Train epoch 3
[E 3B0  |    384/60000 (  1%) ] Loss: 2.0584 top1= 34.0909

=== Log global consensus distance @ E3B0 ===
consensus_distance=0.004



=== Log clique consensus distance @ E3B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.016


[E 3B10 |   4224/60000 (  7%) ] Loss: 2.0302 top1= 35.7955

=== Log global consensus distance @ E3B10 ===
consensus_distance=0.004



=== Log clique consensus distance @ E3B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.018


[E 3B20 |   8064/60000 ( 13%) ] Loss: 1.9982 top1= 34.6591

=== Log global consensus distance @ E3B20 ===
consensus_distance=0.005



=== Log clique consensus distance @ E3B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.020



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2508 top1= 18.8301


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2795 top1= 17.5381


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2615 top1= 20.0421

Train epoch 4
[E 4B0  |    384/60000 (  1%) ] Loss: 1.9568 top1= 40.0568

=== Log global consensus distance @ E4B0 ===
consensus_distance=0.005



=== Log clique consensus distance @ E4B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.023


[E 4B10 |   4224/60000 (  7%) ] Loss: 1.9355 top1= 39.4886

=== Log global consensus distance @ E4B10 ===
consensus_distance=0.006



=== Log clique consensus distance @ E4B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.024


[E 4B20 |   8064/60000 ( 13%) ] Loss: 1.9030 top1= 42.3295

=== Log global consensus distance @ E4B20 ===
consensus_distance=0.006



=== Log clique consensus distance @ E4B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.026



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2345 top1= 21.4744


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2852 top1= 24.2788


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2481 top1= 22.5861

Train epoch 5
[E 5B0  |    384/60000 (  1%) ] Loss: 1.8585 top1= 44.8864

=== Log global consensus distance @ E5B0 ===
consensus_distance=0.007



=== Log clique consensus distance @ E5B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.028


[E 5B10 |   4224/60000 (  7%) ] Loss: 1.8415 top1= 44.0341

=== Log global consensus distance @ E5B10 ===
consensus_distance=0.007



=== Log clique consensus distance @ E5B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.030


[E 5B20 |   8064/60000 ( 13%) ] Loss: 1.8045 top1= 47.4432

=== Log global consensus distance @ E5B20 ===
consensus_distance=0.007



=== Log clique consensus distance @ E5B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.031



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2176 top1= 24.4091


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.2928 top1= 32.8325


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2373 top1= 26.4123

Train epoch 6
[E 6B0  |    384/60000 (  1%) ] Loss: 1.7563 top1= 52.2727

=== Log global consensus distance @ E6B0 ===
consensus_distance=0.008



=== Log clique consensus distance @ E6B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.033


[E 6B10 |   4224/60000 (  7%) ] Loss: 1.7439 top1= 51.4205

=== Log global consensus distance @ E6B10 ===
consensus_distance=0.008



=== Log clique consensus distance @ E6B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.034


[E 6B20 |   8064/60000 ( 13%) ] Loss: 1.6997 top1= 53.9773

=== Log global consensus distance @ E6B20 ===
consensus_distance=0.008



=== Log clique consensus distance @ E6B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.035



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2024 top1= 33.4235


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3055 top1= 35.8373


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2324 top1= 30.5088

Train epoch 7
[E 7B0  |    384/60000 (  1%) ] Loss: 1.6484 top1= 57.1023

=== Log global consensus distance @ E7B0 ===
consensus_distance=0.009



=== Log clique consensus distance @ E7B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.037


[E 7B10 |   4224/60000 (  7%) ] Loss: 1.6417 top1= 56.5341

=== Log global consensus distance @ E7B10 ===
consensus_distance=0.009



=== Log clique consensus distance @ E7B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.038


[E 7B20 |   8064/60000 ( 13%) ] Loss: 1.5881 top1= 58.5227

=== Log global consensus distance @ E7B20 ===
consensus_distance=0.009



=== Log clique consensus distance @ E7B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.039



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.1971 top1= 42.2676


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3304 top1= 37.1094


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2409 top1= 33.2232

Train epoch 8
[E 8B0  |    384/60000 (  1%) ] Loss: 1.5348 top1= 61.3636

=== Log global consensus distance @ E8B0 ===
consensus_distance=0.010



=== Log clique consensus distance @ E8B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.040


[E 8B10 |   4224/60000 (  7%) ] Loss: 1.5361 top1= 61.3636

=== Log global consensus distance @ E8B10 ===
consensus_distance=0.010



=== Log clique consensus distance @ E8B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.041


[E 8B20 |   8064/60000 ( 13%) ] Loss: 1.4679 top1= 64.2045

=== Log global consensus distance @ E8B20 ===
consensus_distance=0.010



=== Log clique consensus distance @ E8B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.042



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.2246 top1= 50.5909


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.3862 top1= 37.9307


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.2826 top1= 34.9559

Train epoch 9
[E 9B0  |    384/60000 (  1%) ] Loss: 1.4178 top1= 64.7727

=== Log global consensus distance @ E9B0 ===
consensus_distance=0.011



=== Log clique consensus distance @ E9B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.043


[E 9B10 |   4224/60000 (  7%) ] Loss: 1.4329 top1= 67.0455

=== Log global consensus distance @ E9B10 ===
consensus_distance=0.011



=== Log clique consensus distance @ E9B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.043


[E 9B20 |   8064/60000 ( 13%) ] Loss: 1.3514 top1= 66.4773

=== Log global consensus distance @ E9B20 ===
consensus_distance=0.013



=== Log clique consensus distance @ E9B20 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.044



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=2.4463 top1= 24.3590


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=2.5542 top1= 38.4014


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=2.4383 top1= 39.6234

Train epoch 10
[E10B0  |    384/60000 (  1%) ] Loss: 1.4021 top1= 65.6250

=== Log global consensus distance @ E10B0 ===
consensus_distance=0.015



=== Log clique consensus distance @ E10B0 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.046


[E10B10 |   4224/60000 (  7%) ] Loss: 1.6668 top1= 67.6136

=== Log global consensus distance @ E10B10 ===
consensus_distance=0.021



=== Log clique consensus distance @ E10B10 ===
clique1_consensus_distance=0.000
clique2_consensus_distance=0.048


[E10B20 |   8064/60000 ( 13%) ] Loss: 2.6307 top1= 60.2273

=== Log global consensus distance @ E10B20 ===
consensus_distance=0.072



=== Log clique consensus distance @ E10B20 ===
clique1_consensus_distance=0.002
clique2_consensus_distance=0.054



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 11
[E11B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E11B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E11B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E11B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E11B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E11B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E11B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E11B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E11B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 12
[E12B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E12B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E12B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E12B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E12B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E12B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E12B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E12B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E12B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 13
[E13B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E13B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E13B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E13B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E13B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E13B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E13B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E13B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E13B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 14
[E14B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E14B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E14B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E14B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E14B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E14B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E14B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E14B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E14B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 15
[E15B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E15B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E15B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E15B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E15B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E15B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E15B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E15B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E15B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 16
[E16B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E16B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E16B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E16B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E16B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E16B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E16B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E16B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E16B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 17
[E17B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E17B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E17B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E17B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E17B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E17B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E17B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E17B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E17B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 18
[E18B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E18B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E18B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E18B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E18B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E18B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E18B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E18B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E18B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 19
[E19B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E19B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E19B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E19B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E19B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E19B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E19B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E19B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E19B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 20
[E20B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E20B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E20B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E20B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E20B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E20B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E20B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E20B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E20B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 21
[E21B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E21B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E21B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E21B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E21B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E21B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E21B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E21B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E21B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 22
[E22B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E22B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E22B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E22B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E22B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E22B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E22B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E22B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E22B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 23
[E23B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E23B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E23B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E23B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E23B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E23B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E23B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E23B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E23B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 24
[E24B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E24B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E24B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E24B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E24B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E24B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E24B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E24B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E24B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 25
[E25B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E25B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E25B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E25B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E25B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E25B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E25B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E25B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E25B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 26
[E26B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E26B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E26B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E26B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E26B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E26B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E26B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E26B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E26B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 27
[E27B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E27B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E27B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E27B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E27B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E27B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E27B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E27B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E27B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 28
[E28B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E28B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E28B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E28B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E28B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E28B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E28B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E28B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E28B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 29
[E29B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E29B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E29B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E29B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E29B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E29B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E29B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E29B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E29B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 30
[E30B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E30B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E30B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E30B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E30B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E30B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E30B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E30B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E30B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 31
[E31B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E31B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E31B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E31B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E31B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E31B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E31B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E31B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E31B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 32
[E32B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E32B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E32B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E32B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E32B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E32B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E32B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E32B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E32B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 33
[E33B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E33B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E33B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E33B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E33B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E33B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E33B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E33B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E33B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 34
[E34B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E34B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E34B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E34B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E34B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E34B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E34B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E34B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E34B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 35
[E35B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E35B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E35B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E35B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E35B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E35B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E35B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E35B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E35B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 36
[E36B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E36B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E36B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E36B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E36B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E36B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E36B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E36B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E36B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 37
[E37B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E37B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E37B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E37B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E37B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E37B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E37B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E37B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E37B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 38
[E38B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E38B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E38B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E38B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E38B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E38B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E38B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E38B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E38B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 39
[E39B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E39B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E39B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E39B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E39B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E39B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E39B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E39B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E39B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

Train epoch 40
[E40B0  |    384/60000 (  1%) ] Loss: nan top1= 11.9318

=== Log global consensus distance @ E40B0 ===
consensus_distance=nan



=== Log clique consensus distance @ E40B0 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E40B10 |   4224/60000 (  7%) ] Loss: nan top1= 10.5114

=== Log global consensus distance @ E40B10 ===
consensus_distance=nan



=== Log clique consensus distance @ E40B10 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan


[E40B20 |   8064/60000 ( 13%) ] Loss: nan top1=  9.6591

=== Log global consensus distance @ E40B20 ===
consensus_distance=nan



=== Log clique consensus distance @ E40B20 ===
clique1_consensus_distance=nan
clique2_consensus_distance=nan



=> Averaged model (Global Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique1 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057


=> Averaged model (Clique2 Average Validation Accuracy) | Eval Loss=nan top1=  9.8057

